Discover the top trends in language and localization for 2025. Explore innovations like AI tools,...
Powerling Predictions: Trends in language and localization for 2025
Cultural Sensitivity in Travel Retail: Why Translations Can Make or Break a Brand
Discover how culturally sensitive translations in travel retail can enhance brand reputation and...
These Are the 5 New Innovations Shaping the Future of Audiovisual Translation
The field of audiovisual translation (AVT) is evolving rapidly, driven by cutting-edge technologi...
Unlocking Image Annotation: Key Types and How They Power Machine Learning
Learn about key annotation types like bounding boxes, semantic segmentation, and their transforma...
How Powerling Uses Dynamic Content Transformation to Build Structured Content for Quality Assurance in Manufacturing
Powerling’s Dynamic Content Transformation enables multilingual quality assurance in manufacturin...
Essential Guidelines for Translating Medical Marketing Materials
Discover how accuracy, cultural sensitivity, and regulatory compliance are crucial for successful...
Translating Product Pages for Global Markets: A Guide to E-commerce Localization
Learn to optimize product detail pages for global markets with expert tips on e-commerce localiza...
AI Predictions vs Reality: 7 Surprising Advances in the Last 30 Years
AI Predictions vs Reality: Uncover 7 surprising AI advancements in the past 30 years, from machin...
Understanding Text Annotation: Key Types and Their Applications in AI and NLP
Discover the key types of text annotation - entity recognition, sentiment analysis, intent detect...
Supervised Fine-Tuning and Data Labeling: A Human-Centric Approach to AI Training
Learn how fine-tuning adjusts models for specific tasks and how human-labeled data helps guide AI...
Top Sources for Off-the-Shelf Call Center Datasets: A Comprehensive Guide
Discover the top sources for off-the-shelf call center datasets in this comprehensive guide. Lear...
Will LLMs and LAMs Ever Be Able to Self-Train? What Does That Mean for Humans?
This article examines the potential for Large Language Models (LLMs) and Large Action Models (LAM...
